title: Photon counting compressive depth mapping.
abstract: We demonstrate a compressed sensing, photon counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low light levels around 0.5 picowatts. Only two-dimensional reconstructions are required to image a three-dimensional scene. We demonstrate intensity imaging and depth mapping at 256 × 256 pixel transverse resolution with acquisition times as short as 3 seconds. We also show novelty filtering, reconstructing only the difference between two instances of a scene. Finally, we acquire 32 × 32 pixel real-time video for three-dimensional object tracking at 14 frames-per-second.
authors.forename: Gregory A
authors.initials: GA
authors.lastname: Howland
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Lum
authors.forename: Matthew R
authors.initials: MR
authors.lastname: Ware
authors.forename: John C
authors.initials: JC
authors.lastname: Howell